摘要
AI技术的迅猛发展为建筑设计领域带来了革命性的变革。文章聚焦于Stable Diffusion平台中的ControlNet插件,系统地探讨了其在建筑图像生成方面的技术原理、操作流程以及应用场景。通过多组建筑案例的对比实验,分析了不同预处理和模型参数对生成结果的影响,揭示了AI技术在建筑设计中实现精准控制的技术路径,为建筑设计流程的智能化优化提供了理论与实践参考。
The rapid advancement of AI technology has brought revolutionary transformations to the field of architectural design.Focusing on the ControlNet plugin on the Stable Diffusion platform,this study systematically examines its technical principles,operational workflow,and application scenarios in architectural image generation.Through comparative experiments on multiple architectural cases,the study analyzes how different preprocessors and model parameters affect the generated outcomes,and reveals a technical path for achieving precise architectural control in AI-assisted design.The findings provide both theoretical and practical references for the intelligent optimization of architectural design workflows.
出处
《建筑与文化》
2025年第12期287-289,共3页
Architecture & Culture
